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 <title>Category of $(M,R)$--systems</title>
 <name>RSystemsCategoryOfM</name>
 <created>2009-01-15 21:05:03</created>
 <modified>2009-01-26 01:40:22</modified>
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 <creator id="441" name="bci1"/>
 <modifier id="441" name="bci1"/>
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 <defines>
	<concept>MR-system</concept>
	<concept>general $(M</concept>
	<concept>R)$--system</concept>
 </defines>
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	<term>$(M</term>
	<term>R)$--systems</term>
	<term>category of $(M</term>
	<term>R)$--systems</term>
	<term>category of automata</term>
	<term>relational biology</term>
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 <content>\subsection{Introduction and the basic concept of a metabolic-replication system}

Robert Rosen introduced \emph{metabolic--repair models}, or $(M,R)$-systems in mathematical biology (\emph{abstract relational biology}) in 1957 (\cite{RRosen1, RRosen2}); such systems will be here abbreviated as $MR$-systems, (or simply $MR$'s). Rosen, then represented the $MR$'s in terms of categories of sets, deliberately selected without any structure other than the {\em discrete topology of sets}.

\begin{definition}
The simplest $MR$-system represents a relational model of the primordial organism which is defined by the following \emph{categorical sequence (or diagram) of sets and set-theoretical mappings}:
$f: A \rightarrow B, \phi: B \rightarrow Hom_{MR}(A,B)$, where $A$ is the set of inputs to the
$MR$-system, $B$ is the set of its outputs, and $\phi$ is the `repair map', or $R$-component, of the $MR$-system which associates to a certain product, or output $b$, the `metabolic' component (such as an enzyme, E, for example)
represented by the set-theoretical mapping $f$. Then, $Hom_{MR}(A,B)$ is defined as the set of all such metabolic (set-theoretical) mappings (occasionally written incorrectly by some authors as $\left\{f\right\}$).
\end{definition}

\begin{definition}
A \emph{general $(M,R)$-system} was defined by Rosen (1958a,b) as the network or graph of the metabolic and repair components that were specified above in \textbf{Definition 0.1}; such components are networked in a complex, abstract `organism' defined by all the abstract relations and connecting maps between the sets specifying all the metabolic and repair components of such a general, abstract model of the biological organism. The mappings bettwen
$(M,R)$-systems are defined as the the metabolic and repair set-theoretical mappings, such as $f$ and $\phi$ (specified in \textbf{Definition 0.1}); moreover, there is also a finite number of sets (just like those that are defined as in \textbf{Definition 0.1}): $A_i, B_i$, whereas $f \in Hom_{MR_i}(A_i,B_i)$ and
$\phi \in Hom_{MR_i}[B, Hom_{MR_i}(A_i,B_i)]$, with $i \in I$, and $I$ being a finite index set, or directed set, with $(f,\phi)$ being a finite number of distinct metabolic and repair components pairs. Alternatively, one may think of a a general $MR$-system as being `made of' a finite number $N$ of interconnected $MR_i$, metabolic-repair modules with input sets $A_i$ and output sets $B_i$. To sum up:
a \emph{general MR-system} can be defined as a \emph{family of interconnected quartets}:
$\left\{(A_i, B_i, f_i, \phi_i)\right\}_{i \in I}$, where $I$ is an index set of integers $i=1, 2, ..., n$.
\end{definition}

\subsection{Category of (M,R)--systems}

\begin{definition}

A \emph{category of $(M,R)$-system quartet modules}, $\left\{(A_i, B_i, f_i, \phi_i)\right\}_{i \in I}$, with I being an index set of integers $i=1,2,..., n$, is a small category of sets with set-theoretical mappings defined by the MR-morphisms between the quarted modules $\left\{(A_i, B_i, f_i, \phi_i)\right\}_{i \in I}$, and also with repair components defined as $\phi_i \in Hom_{MR_i}[B, Hom_{MR_i}(A_i,B_i)]$, with the $(M,R)$-morphism composition defined by the usual composition of functions between sets.

With a few, additional notational changes it can be shown that the category of $(M,R)$-systems
is a subcategory of the category of automata (or sequential machines), $\mathcal{S}_{[M,A]}$ (\cite{ICB73, ICBM74}).
\end{definition}

\begin{remark}
For over two decades, Robert Rosen developed with several coworkers the MR-systems theory and its applications
to life sciences, medicine and general systems theory. He also considered biocomplexity to be an `emergent', defining feature of organisms which is \emph{not reducible in terms of the molecular structures} (or molecular components) of the organism and their physicochemical interactions. However, in his last written book in 1997 on \emph{``Essays on Life Itself", published posthumously in 2000}, Robert Rosen finally accepted the need for representing organisms in terms of {\em categories with structure} that entail biological functions, both metabolic and repair ones. Note also that, unlike Rashevsky in his theory of organismic sets, Rosen did not attempt to extend the $MR$s to modeling societies, even though with appropriate modifications of \emph{generalized $(M,R)$-system categories with structure} (\cite{ICB73, ICBM74, ICB87a}), this is feasible and yields meaningful mathematical and sociological results.
Thus, subsequent publications have generalized MR-system (GMRs) and have studied the fundamental, mathematical properties of algebraic categories of GMRs that were constructed functorially based on the {Yoneda-Grothendieck Lemma}
and construction. Then it was shown that such algebraic categories of GMRs are \emph{Cartesian closed} \cite{ICB73}.
Several \emph{molecular biology realizations of GMRs} in terms of DNA, RNAs, enzymes,
$RNA \to DNA$-reverse trancriptases, and other biomolecular components were subsequently introduced and discussed in ref. \cite{BBGGk6,ICB87a, ICB87b} in terms of \emph{non-linear genetic network models} in many-valued, $LM_n$ logic algebras (or \PMlinkname{algebraic category $\mathcal{LM}$ of $LM_n$ logic algebras}{AlgebraicCategoryOfLMnLogicAlgebras}).
\end{remark}

\begin{thebibliography}{9}

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Rashevsky, N.: 1965, The Representation of Organisms in Terms of
Predicates, \emph{Bulletin of Mathematical Biophysics} \textbf{27}: 477-491.

\bibitem{Rashevsky2-1969}
Rashevsky, N.: 1969, Outline of a Unified Approach to Physics, Biology and Sociology., \emph{Bulletin of Mathematical Biophysics} \textbf{31}: 159--198.

\bibitem{Rosenbook}
Rosen, R.: 1985, \emph{Anticipatory Systems}, Pergamon Press: New York.

\bibitem{RRosen1}
Rosen, R.: 1958a, A Relational Theory of Biological Systems \emph{Bulletin of Mathematical Biophysics}
\textbf{20}: 245-260.

\bibitem{RRosen2}
Rosen, R.: 1958b, The Representation of Biological Systems from the Standpoint of the
Theory of Categories., \emph{ Bulletin of Mathematical Biophysics} \textbf{20}: 317-341.

\bibitem{RRosen3}
Rosen, R.: 1987, On Complex Systems, \emph{European Journal of Operational Research} \textbf{30}:129--134.

\bibitem{ICB73}
Baianu, I.C.: 1973, Some Algebraic Properties of \emph{\textbf{(M,R)}} -- Systems. \emph{Bulletin of Mathematical Biophysics} \textbf{35}, 213-217.

\bibitem{ICBM74}
Baianu, I.C. and M. Marinescu: 1974, On A Functorial Construction of \emph{\textbf{(M,R)}}-- Systems. \emph{Revue Roumaine de Mathematiques Pures et Appliqu\'ees} \textbf{19}: 388-391.

\bibitem{ICB80}
Baianu, I.C.: 1980, Natural Transformations of Organismic Structures.,
\emph{Bulletin of Mathematical Biology},\textbf{42}: 431-446.

\bibitem{ICB77}
I.C. Baianu: 1977, A Logical Model of Genetic Activities in \L{}ukasiewicz Algebras: The Non-linear Theory. \emph{Bulletin of Mathematical Biophysics}, \textbf{39}: 249-258.

\bibitem{ICB8}
I.C. Baianu: 1983, Natural Transformation Models in Molecular Biology., in \emph{Proceedings of the SIAM Natl. Meet}., Denver, CO.; \PMlinkexternal{An Eprint is here available}{http://cogprints.org/3675/1/Naturaltransfmolbionu6.pdf} .

\bibitem{ICB9}
I.C. Baianu: 1984, A Molecular-Set-Variable Model of Structural and Regulatory Activities in Metabolic and Genetic Networks., \emph{FASEB Proceedings} \textbf{43}, 917.

\bibitem{ICB87a}
I.C. Baianu: 1987a, Computer Models and Automata Theory in Biology and Medicine., in M. Witten (ed.),
\emph{Mathematical Models in Medicine}, vol. 7., Pergamon Press, New York, 1513--1577; \PMlinkexternal{CERN Preprint No. EXT-2004-072:}{http://documents.cern.ch/cgi-bin/setlink?base=preprint&amp;categ=ext&amp;id=ext-2004-067}.

\bibitem{ICB87b}
I.C. Baianu: 1987b, Molecular Models of Genetic and Organismic Structures, in \emph{Proceed. Relational Biology Symp.} Argentina; \PMlinkexternal{CERN Preprint No.EXT-2004-067:MolecularModelsICB3.doc}{http://documents.cern.ch/cgi-bin/setlink?base=preprint&amp;categ=ext&amp;id=ext-2004-067}.

\bibitem{Bgg2}
I.C. Baianu, Glazebrook, J. F. and G. Georgescu: 2004, Categories of Quantum Automata and
N-Valued \L ukasiewicz Algebras in Relation to Dynamic Bionetworks, \textbf{(M,R)}--Systems and
Their Higher Dimensional Algebra,
\PMlinkexternal{Abstract of Report is here available as a PDF}{http://www.ag.uiuc.edu/fs401/QAuto.pdf} and
\PMlinkexternal{html document}{http://doc.cern.ch/archive/electronic/other/ext/ext-2004-058/QuantumAutnu3_ICB.pdf}

\bibitem{BGB2}
R. Brown, J. F. Glazebrook and I. C. Baianu: A categorical and higher dimensional algebra framework for complex systems and spacetime structures, \emph{Axiomathes} \textbf{17}:409--493.
(2007).

\bibitem{LO68}
L. L$\ddot{o}$fgren: 1968. On Axiomatic Explanation of Complete Self--Reproduction. \emph{Bull. Math. Biophysics},
\textbf{30}: 317--348.

\bibitem{ICB2004a}
Baianu, I.C.: 2004a. \L{}ukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamic Models (2004). Eprint. Cogprints--Sussex Univ.

\bibitem{ICB04b}
Baianu, I.C.: 2004b \L{}ukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamics). CERN Preprint EXT-2004-059. \textit{Health Physics and Radiation Effects} (June 29, 2004).

\bibitem{ICB2k6}
Baianu, I. C.: 2006, Robert Rosen's Work and Complex Systems Biology, \emph{Axiomathes} \textbf{16}(1--2):25--34.

\bibitem{BBGGk6}
Baianu I. C., Brown R., Georgescu G. and J. F. Glazebrook: 2006, Complex Nonlinear Biodynamics in Categories, Higher Dimensional Algebra and \L{}ukasiewicz--Moisil Topos: Transformations of Neuronal, Genetic and Neoplastic Networks., \emph{Axiomathes}, \textbf{16} Nos. 1--2: 65--122.

\end{thebibliography}</content>
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